Overview

Brought to you by YData

Dataset statistics

Number of variables	28
Number of observations	8674
Missing cells	8659
Missing cells (%)	3.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.9 MiB
Average record size in memory	232.0 B

Variable types

Categorical	11
DateTime	1
TimeSeries	14
Numeric	2

Timeseries statistics

Number of series	14
Time series length	8674
Starting point	2000-01-01 00:00:00
Ending point	2010-12-31 00:00:00
Period	11 hours, 6 minutes and 57.31 seconds

Alerts

`State Code` has constant value "4"	Constant
`County Code` has constant value "13"	Constant
`Site Num` has constant value "3003"	Constant
`Address` has constant value "2857 N MILLER RD-S SCOTTSDALE STN"	Constant
`State` has constant value "Arizona"	Constant
`County` has constant value "Maricopa"	Constant
`City` has constant value "Scottsdale"	Constant
`NO2 Units` has constant value "Parts per billion"	Constant
`O3 Units` has constant value "Parts per million"	Constant
`SO2 Units` has constant value "Parts per billion"	Constant
`CO Units` has constant value "Parts per million"	Constant
`CO 1st Max Value` is highly overall correlated with `CO AQI` and 7 other fields	High correlation
`CO AQI` is highly overall correlated with `CO 1st Max Value` and 7 other fields	High correlation
`CO Mean` is highly overall correlated with `CO 1st Max Value` and 7 other fields	High correlation
`NO2 1st Max Value` is highly overall correlated with `CO 1st Max Value` and 4 other fields	High correlation
`NO2 AQI` is highly overall correlated with `CO 1st Max Value` and 4 other fields	High correlation
`NO2 Mean` is highly overall correlated with `CO 1st Max Value` and 7 other fields	High correlation
`O3 1st Max Value` is highly overall correlated with `O3 AQI` and 1 other fields	High correlation
`O3 AQI` is highly overall correlated with `O3 1st Max Value` and 1 other fields	High correlation
`O3 Mean` is highly overall correlated with `CO 1st Max Value` and 5 other fields	High correlation
`SO2 1st Max Value` is highly overall correlated with `CO 1st Max Value` and 5 other fields	High correlation
`SO2 AQI` is highly overall correlated with `CO 1st Max Value` and 5 other fields	High correlation
`SO2 Mean` is highly overall correlated with `SO2 1st Max Value` and 1 other fields	High correlation
`SO2 AQI` has 4336 (50.0%) missing values	Missing
`CO AQI` has 4323 (49.8%) missing values	Missing
`NO2 Mean` is non stationary	Non stationary
`NO2 1st Max Value` is non stationary	Non stationary
`NO2 AQI` is non stationary	Non stationary
`O3 Mean` is non stationary	Non stationary
`O3 1st Max Value` is non stationary	Non stationary
`O3 AQI` is non stationary	Non stationary
`SO2 Mean` is non stationary	Non stationary
`SO2 1st Max Value` is non stationary	Non stationary
`SO2 1st Max Hour` is non stationary	Non stationary
`SO2 AQI` is non stationary	Non stationary
`CO Mean` is non stationary	Non stationary
`CO AQI` is non stationary	Non stationary
`NO2 Mean` is seasonal	Seasonal
`NO2 1st Max Value` is seasonal	Seasonal
`NO2 AQI` is seasonal	Seasonal
`O3 Mean` is seasonal	Seasonal
`O3 1st Max Value` is seasonal	Seasonal
`O3 AQI` is seasonal	Seasonal
`SO2 Mean` is seasonal	Seasonal
`SO2 1st Max Value` is seasonal	Seasonal
`SO2 1st Max Hour` is seasonal	Seasonal
`SO2 AQI` is seasonal	Seasonal
`CO Mean` is seasonal	Seasonal
`CO AQI` is seasonal	Seasonal
`NO2 1st Max Hour` has 660 (7.6%) zeros	Zeros
`O3 1st Max Hour` has 148 (1.7%) zeros	Zeros
`SO2 Mean` has 218 (2.5%) zeros	Zeros
`SO2 1st Max Value` has 218 (2.5%) zeros	Zeros
`SO2 1st Max Hour` has 941 (10.8%) zeros	Zeros
`SO2 AQI` has 108 (1.2%) zeros	Zeros
`CO 1st Max Hour` has 2160 (24.9%) zeros	Zeros

Reproduction

Analysis started	2025-03-11 15:24:33.551363
Analysis finished	2025-03-11 15:25:05.577316
Duration	32.03 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

State Code
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

4	8674

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8674
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
4	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	8674	100.0%

Most occurring characters

Value	Count	Frequency (%)
4	8674	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8674	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	8674	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8674	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	8674	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8674	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	8674	100.0%

County Code
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

13	8674

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	17348
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	13
2nd row	13
3rd row	13
4th row	13
5th row	13

Common Values

Value	Count	Frequency (%)
13	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
13	8674	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	8674	50.0%
3	8674	50.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17348	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	8674	50.0%
3	8674	50.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17348	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	8674	50.0%
3	8674	50.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17348	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	8674	50.0%
3	8674	50.0%

Site Num
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

3003	8674

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	34696
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3003
2nd row	3003
3rd row	3003
4th row	3003
5th row	3003

Common Values

Value	Count	Frequency (%)
3003	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3003	8674	100.0%

Most occurring characters

Value	Count	Frequency (%)
3	17348	50.0%
0	17348	50.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34696	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	17348	50.0%
0	17348	50.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34696	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	17348	50.0%
0	17348	50.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34696	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	17348	50.0%
0	17348	50.0%

Address
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

2857 N MILLER RD-S SCOTTSDALE STN	8674

Length

Max length	33
Median length	33
Mean length	33
Min length	33

Characters and Unicode

Total characters	286242
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2857 N MILLER RD-S SCOTTSDALE STN
2nd row	2857 N MILLER RD-S SCOTTSDALE STN
3rd row	2857 N MILLER RD-S SCOTTSDALE STN
4th row	2857 N MILLER RD-S SCOTTSDALE STN
5th row	2857 N MILLER RD-S SCOTTSDALE STN

Common Values

Value	Count	Frequency (%)
2857 N MILLER RD-S SCOTTSDALE STN	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2857	8674	16.7%
n	8674	16.7%
miller	8674	16.7%
rd-s	8674	16.7%
scottsdale	8674	16.7%
stn	8674	16.7%

Most occurring characters

Value	Count	Frequency (%)
	43370	15.2%
S	34696	12.1%
T	26022	9.1%
L	26022	9.1%
R	17348	6.1%
D	17348	6.1%
E	17348	6.1%
N	17348	6.1%
8	8674	3.0%
2	8674	3.0%
Other values (8)	69392	24.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	286242	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	43370	15.2%
S	34696	12.1%
T	26022	9.1%
L	26022	9.1%
R	17348	6.1%
D	17348	6.1%
E	17348	6.1%
N	17348	6.1%
8	8674	3.0%
2	8674	3.0%
Other values (8)	69392	24.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	286242	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	43370	15.2%
S	34696	12.1%
T	26022	9.1%
L	26022	9.1%
R	17348	6.1%
D	17348	6.1%
E	17348	6.1%
N	17348	6.1%
8	8674	3.0%
2	8674	3.0%
Other values (8)	69392	24.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	286242	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	43370	15.2%
S	34696	12.1%
T	26022	9.1%
L	26022	9.1%
R	17348	6.1%
D	17348	6.1%
E	17348	6.1%
N	17348	6.1%
8	8674	3.0%
2	8674	3.0%
Other values (8)	69392	24.2%

State
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Arizona	8674

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	60718
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Arizona
2nd row	Arizona
3rd row	Arizona
4th row	Arizona
5th row	Arizona

Common Values

Value	Count	Frequency (%)
Arizona	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
arizona	8674	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	8674	14.3%
r	8674	14.3%
i	8674	14.3%
z	8674	14.3%
o	8674	14.3%
n	8674	14.3%
a	8674	14.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	60718	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	8674	14.3%
r	8674	14.3%
i	8674	14.3%
z	8674	14.3%
o	8674	14.3%
n	8674	14.3%
a	8674	14.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	60718	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	8674	14.3%
r	8674	14.3%
i	8674	14.3%
z	8674	14.3%
o	8674	14.3%
n	8674	14.3%
a	8674	14.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	60718	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	8674	14.3%
r	8674	14.3%
i	8674	14.3%
z	8674	14.3%
o	8674	14.3%
n	8674	14.3%
a	8674	14.3%

County
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Maricopa	8674

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	69392
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Maricopa
2nd row	Maricopa
3rd row	Maricopa
4th row	Maricopa
5th row	Maricopa

Common Values

Value	Count	Frequency (%)
Maricopa	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
maricopa	8674	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	17348	25.0%
M	8674	12.5%
r	8674	12.5%
i	8674	12.5%
c	8674	12.5%
o	8674	12.5%
p	8674	12.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	69392	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	17348	25.0%
M	8674	12.5%
r	8674	12.5%
i	8674	12.5%
c	8674	12.5%
o	8674	12.5%
p	8674	12.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	69392	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	17348	25.0%
M	8674	12.5%
r	8674	12.5%
i	8674	12.5%
c	8674	12.5%
o	8674	12.5%
p	8674	12.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	69392	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	17348	25.0%
M	8674	12.5%
r	8674	12.5%
i	8674	12.5%
c	8674	12.5%
o	8674	12.5%
p	8674	12.5%

City
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Scottsdale	8674

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	86740
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Scottsdale
2nd row	Scottsdale
3rd row	Scottsdale
4th row	Scottsdale
5th row	Scottsdale

Common Values

Value	Count	Frequency (%)
Scottsdale	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
scottsdale	8674	100.0%

Most occurring characters

Value	Count	Frequency (%)
t	17348	20.0%
S	8674	10.0%
c	8674	10.0%
o	8674	10.0%
s	8674	10.0%
d	8674	10.0%
a	8674	10.0%
l	8674	10.0%
e	8674	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	86740	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	17348	20.0%
S	8674	10.0%
c	8674	10.0%
o	8674	10.0%
s	8674	10.0%
d	8674	10.0%
a	8674	10.0%
l	8674	10.0%
e	8674	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	86740	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	17348	20.0%
S	8674	10.0%
c	8674	10.0%
o	8674	10.0%
s	8674	10.0%
d	8674	10.0%
a	8674	10.0%
l	8674	10.0%
e	8674	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	86740	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	17348	20.0%
S	8674	10.0%
c	8674	10.0%
o	8674	10.0%
s	8674	10.0%
d	8674	10.0%
a	8674	10.0%
l	8674	10.0%
e	8674	10.0%

Date Local
Date

Distinct	2176
Distinct (%)	25.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Minimum	2000-01-01 00:00:00
Maximum	2010-12-31 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

NO2 Units
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Parts per billion	8674

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	147458
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Parts per billion
2nd row	Parts per billion
3rd row	Parts per billion
4th row	Parts per billion
5th row	Parts per billion

Common Values

Value	Count	Frequency (%)
Parts per billion	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
parts	8674	33.3%
per	8674	33.3%
billion	8674	33.3%

Most occurring characters

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
b	8674	5.9%
Other values (3)	26022	17.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
b	8674	5.9%
Other values (3)	26022	17.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
b	8674	5.9%
Other values (3)	26022	17.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
b	8674	5.9%
Other values (3)	26022	17.6%

NO2 Mean
Numeric time series

High correlation Non stationary Seasonal

Distinct	1152
Distinct (%)	13.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	22.616994
Minimum	0
Maximum	139.54167
Zeros	4
Zeros (%)	< 0.1%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	8.833333
Q1	16.458333
median	21.666667
Q3	26.958333
95-th percentile	35.178334
Maximum	139.54167
Range	139.54167
Interquartile range (IQR)	10.5

Descriptive statistics

Standard deviation	11.641916
Coefficient of variation (CV)	0.51474198
Kurtosis	26.089449
Mean	22.616994
Median Absolute Deviation (MAD)	5.25
Skewness	3.717748
Sum	196179.81
Variance	135.53422
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	2.81690497 × 10^-11

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
20.583333	44	0.5%
20.333333	36	0.4%
19.208333	32	0.4%
17	32	0.4%
19.166667	32	0.4%
19.041667	32	0.4%
18.166667	32	0.4%
20.708333	32	0.4%
22	28	0.3%
23.208333	28	0.3%
Other values (1142)	8346	96.2%

Value	Count	Frequency (%)
0	4	< 0.1%
0.5	4	< 0.1%
1.555556	4	< 0.1%
2	4	< 0.1%
2.761905	2	< 0.1%
3.222222	4	< 0.1%
3.583333	4	< 0.1%
3.608696	4	< 0.1%
3.611111	4	< 0.1%
3.625	4	< 0.1%

Value	Count	Frequency (%)
139.541667	4	< 0.1%
135.333333	4	< 0.1%
135.1875	4	< 0.1%
123.333333	4	< 0.1%
113.083333	4	< 0.1%
110.136364	4	< 0.1%
107.545455	4	< 0.1%
105.5	4	< 0.1%
98.75	4	< 0.1%
97.458333	4	< 0.1%

ACF and PACF

NO2 1st Max Value
Numeric time series

High correlation Non stationary Seasonal

Distinct	121
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	45.715933
Minimum	0
Maximum	267
Zeros	4
Zeros (%)	< 0.1%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	23
Q1	36
median	44
Q3	51
95-th percentile	63
Maximum	267
Range	267
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	24.22286
Coefficient of variation (CV)	0.52985596
Kurtosis	30.916789
Mean	45.715933
Median Absolute Deviation (MAD)	7
Skewness	4.8095303
Sum	396540
Variance	586.74692
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	2.383299232 × 10^-10

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
46	372	4.3%
47	342	3.9%
50	334	3.9%
41	330	3.8%
45	328	3.8%
43	306	3.5%
44	300	3.5%
48	298	3.4%
42	282	3.3%
49	268	3.1%
Other values (111)	5514	63.6%

Value	Count	Frequency (%)
0	4	< 0.1%
2	4	< 0.1%
7	16	0.2%
8	8	0.1%
9	16	0.2%
10	18	0.2%
12	24	0.3%
13	20	0.2%
14	8	0.1%
15	16	0.2%

Value	Count	Frequency (%)
267	4	< 0.1%
256	4	< 0.1%
244	4	< 0.1%
241	4	< 0.1%
233	4	< 0.1%
231	4	< 0.1%
229	4	< 0.1%
225	4	< 0.1%
224	4	< 0.1%
223	4	< 0.1%

ACF and PACF

NO2 1st Max Hour
Numeric time series

Zeros

Distinct	24
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	16.267466
Minimum	0
Maximum	23
Zeros	660
Zeros (%)	7.6%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	18
median	19
Q3	20
95-th percentile	22
Maximum	23
Range	23
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	6.4185778
Coefficient of variation (CV)	0.39456531
Kurtosis	1.1789465
Mean	16.267466
Median Absolute Deviation (MAD)	1
Skewness	-1.6050833
Sum	141104
Variance	41.198141
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	2.122748134 × 10^-25

Histogram with fixed size bins (bins=24)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
19	1942	22.4%
18	1880	21.7%
20	1452	16.7%
21	760	8.8%
0	660	7.6%
17	340	3.9%
7	296	3.4%
22	294	3.4%
23	218	2.5%
8	204	2.4%
Other values (14)	628	7.2%

Value	Count	Frequency (%)
0	660	7.6%
1	84	1.0%
2	56	0.6%
3	12	0.1%
4	16	0.2%
5	36	0.4%
6	192	2.2%
7	296	3.4%
8	204	2.4%
9	64	0.7%

Value	Count	Frequency (%)
23	218	2.5%
22	294	3.4%
21	760	8.8%
20	1452	16.7%
19	1942	22.4%
18	1880	21.7%
17	340	3.9%
16	36	0.4%
15	20	0.2%
14	16	0.2%

ACF and PACF

NO2 AQI
Numeric time series

High correlation Non stationary Seasonal

Distinct	98
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	41.991469
Minimum	0
Maximum	132
Zeros	4
Zeros (%)	< 0.1%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	22
Q1	34
median	42
Q3	48
95-th percentile	61
Maximum	132
Range	132
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	15.822729
Coefficient of variation (CV)	0.37680817
Kurtosis	9.595034
Mean	41.991469
Median Absolute Deviation (MAD)	7
Skewness	2.229427
Sum	364234
Variance	250.35874
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	1.365294294 × 10^-9

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
42	628	7.2%
43	372	4.3%
44	342	3.9%
47	334	3.9%
39	330	3.8%
41	306	3.5%
45	298	3.4%
40	282	3.3%
37	268	3.1%
46	268	3.1%
Other values (88)	5246	60.5%

Value	Count	Frequency (%)
0	4	< 0.1%
2	4	< 0.1%
7	16	0.2%
8	24	0.3%
9	18	0.2%
11	24	0.3%
12	20	0.2%
13	8	0.1%
14	16	0.2%
15	42	0.5%

Value	Count	Frequency (%)
132	4	< 0.1%
130	4	< 0.1%
128	4	< 0.1%
127	4	< 0.1%
126	8	0.1%
125	4	< 0.1%
124	16	0.2%
123	12	0.1%
121	8	0.1%
120	4	< 0.1%

ACF and PACF

O3 Units
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Parts per million	8674

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	147458
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Parts per million
2nd row	Parts per million
3rd row	Parts per million
4th row	Parts per million
5th row	Parts per million

Common Values

Value	Count	Frequency (%)
Parts per million	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
parts	8674	33.3%
per	8674	33.3%
million	8674	33.3%

Most occurring characters

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
m	8674	5.9%
Other values (3)	26022	17.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
m	8674	5.9%
Other values (3)	26022	17.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
m	8674	5.9%
Other values (3)	26022	17.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
m	8674	5.9%
Other values (3)	26022	17.6%

O3 Mean
Numeric time series

High correlation Non stationary Seasonal

Distinct	854
Distinct (%)	9.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.019104288
Minimum	0.001
Maximum	0.045944
Zeros	0
Zeros (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	0.001
5-th percentile	0.006737
Q1	0.012333
median	0.018211
Q3	0.025042
95-th percentile	0.034375
Maximum	0.045944
Range	0.044944
Interquartile range (IQR)	0.012709

Descriptive statistics

Standard deviation	0.008581389
Coefficient of variation (CV)	0.44918653
Kurtosis	-0.36213725
Mean	0.019104288
Median Absolute Deviation (MAD)	0.006206
Skewness	0.43234702
Sum	165.7106
Variance	7.3640237 × 10^-5
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	1.838970721 × 10^-6

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
0.011167	52	0.6%
0.01425	40	0.5%
0.017375	32	0.4%
0.008667	32	0.4%
0.009292	32	0.4%
0.020125	32	0.4%
0.020375	32	0.4%
0.016292	32	0.4%
0.014875	28	0.3%
0.011958	28	0.3%
Other values (844)	8334	96.1%

Value	Count	Frequency (%)
0.001	4	< 0.1%
0.001167	4	< 0.1%
0.001917	4	< 0.1%
0.001958	4	< 0.1%
0.002125	4	< 0.1%
0.002389	4	< 0.1%
0.0025	4	< 0.1%
0.002625	4	< 0.1%
0.00275	4	< 0.1%
0.002875	4	< 0.1%

Value	Count	Frequency (%)
0.045944	4	< 0.1%
0.045875	4	< 0.1%
0.045833	4	< 0.1%
0.045167	4	< 0.1%
0.045042	2	< 0.1%
0.044833	4	< 0.1%
0.044792	4	< 0.1%
0.044375	4	< 0.1%
0.044125	4	< 0.1%
0.043208	4	< 0.1%

ACF and PACF

O3 1st Max Value
Numeric time series

High correlation Non stationary Seasonal

Distinct	76
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.03657021
Minimum	0.001
Maximum	0.078
Zeros	0
Zeros (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	0.001
5-th percentile	0.016
Q1	0.028
median	0.036
Q3	0.045
95-th percentile	0.057
Maximum	0.078
Range	0.077
Interquartile range (IQR)	0.017

Descriptive statistics

Standard deviation	0.012372061
Coefficient of variation (CV)	0.3383098
Kurtosis	-0.017078732
Mean	0.03657021
Median Absolute Deviation (MAD)	0.008
Skewness	0.1098211
Sum	317.21
Variance	0.00015306788
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	2.157927082 × 10^-5

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
0.039	350	4.0%
0.035	320	3.7%
0.031	304	3.5%
0.037	292	3.4%
0.033	284	3.3%
0.032	280	3.2%
0.034	274	3.2%
0.038	264	3.0%
0.03	264	3.0%
0.042	258	3.0%
Other values (66)	5784	66.7%

Value	Count	Frequency (%)
0.001	4	< 0.1%
0.002	4	< 0.1%
0.003	12	0.1%
0.004	8	0.1%
0.005	4	< 0.1%
0.006	12	0.1%
0.007	28	0.3%
0.008	12	0.1%
0.009	36	0.4%
0.01	4	< 0.1%

Value	Count	Frequency (%)
0.078	8	0.1%
0.077	4	< 0.1%
0.075	4	< 0.1%
0.073	4	< 0.1%
0.072	4	< 0.1%
0.071	16	0.2%
0.07	6	0.1%
0.069	8	0.1%
0.068	20	0.2%
0.067	8	0.1%

ACF and PACF

O3 1st Max Hour
Numeric time series

Zeros

Distinct	23
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.8872493
Minimum	0
Maximum	23
Zeros	148
Zeros (%)	1.7%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	8
Q1	9
median	10
Q3	10
95-th percentile	12
Maximum	23
Range	23
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.6696282
Coefficient of variation (CV)	0.27000717
Kurtosis	12.370476
Mean	9.8872493
Median Absolute Deviation (MAD)	1
Skewness	1.685978
Sum	85762
Variance	7.1269145
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	5.316671286 × 10^-23

Histogram with fixed size bins (bins=23)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
10	3580	41.3%
9	2818	32.5%
11	974	11.2%
8	472	5.4%
12	174	2.0%
0	148	1.7%
23	80	0.9%
22	60	0.7%
7	56	0.6%
13	54	0.6%
Other values (13)	258	3.0%

Value	Count	Frequency (%)
0	148	1.7%
1	12	0.1%
2	8	0.1%
4	4	< 0.1%
5	8	0.1%
6	44	0.5%
7	56	0.6%
8	472	5.4%
9	2818	32.5%
10	3580	41.3%

Value	Count	Frequency (%)
23	80	0.9%
22	60	0.7%
21	52	0.6%
20	40	0.5%
19	36	0.4%
18	10	0.1%
17	12	0.1%
16	4	< 0.1%
15	4	< 0.1%
14	24	0.3%

ACF and PACF

O3 AQI
Numeric time series

High correlation Non stationary Seasonal

Distinct	67
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	31.424948
Minimum	1
Maximum	106
Zeros	0
Zeros (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	1
5-th percentile	14
Q1	24
median	31
Q3	38
95-th percentile	48
Maximum	106
Range	105
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	11.903411
Coefficient of variation (CV)	0.37878855
Kurtosis	4.494917
Mean	31.424948
Median Absolute Deviation (MAD)	7
Skewness	1.1280572
Sum	272580
Variance	141.69118
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	1.711969553 × 10^-6

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
31	544	6.3%
25	484	5.6%
36	472	5.4%
33	350	4.0%
42	350	4.0%
30	320	3.7%
26	304	3.5%
28	284	3.3%
27	280	3.2%
29	274	3.2%
Other values (57)	5012	57.8%

Value	Count	Frequency (%)
1	4	< 0.1%
2	4	< 0.1%
3	20	0.2%
4	4	< 0.1%
5	12	0.1%
6	28	0.3%
7	12	0.1%
8	40	0.5%
9	40	0.5%
10	40	0.5%

Value	Count	Frequency (%)
106	8	0.1%
104	4	< 0.1%
100	4	< 0.1%
93	4	< 0.1%
90	4	< 0.1%
87	16	0.2%
84	6	0.1%
80	8	0.1%
77	20	0.2%
74	8	0.1%

ACF and PACF

SO2 Units
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Parts per billion	8674

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	147458
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Parts per billion
2nd row	Parts per billion
3rd row	Parts per billion
4th row	Parts per billion
5th row	Parts per billion

Common Values

Value	Count	Frequency (%)
Parts per billion	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
parts	8674	33.3%
per	8674	33.3%
billion	8674	33.3%

Most occurring characters

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
b	8674	5.9%
Other values (3)	26022	17.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
b	8674	5.9%
Other values (3)	26022	17.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
b	8674	5.9%
Other values (3)	26022	17.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
b	8674	5.9%
Other values (3)	26022	17.6%

SO2 Mean
Numeric time series

High correlation Non stationary Seasonal Zeros

Distinct	876
Distinct (%)	10.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.5732559
Minimum	0
Maximum	19.375
Zeros	218
Zeros (%)	2.5%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.1125
Q1	0.775
median	1.2375
Q3	2.125
95-th percentile	3.9143114
Maximum	19.375
Range	19.375
Interquartile range (IQR)	1.35

Descriptive statistics

Standard deviation	1.3593036
Coefficient of variation (CV)	0.8640067
Kurtosis	36.144113
Mean	1.5732559
Median Absolute Deviation (MAD)	0.6125
Skewness	4.0337795
Sum	13646.421
Variance	1.8477063
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	7.169279767 × 10^-14

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
1	388	4.5%
0	218	2.5%
1.083333	105	1.2%
2	98	1.1%
1.125	88	1.0%
1.5	86	1.0%
1.041667	84	1.0%
0.958333	64	0.7%
1.166667	64	0.7%
1.075	63	0.7%
Other values (866)	7416	85.5%

Value	Count	Frequency (%)
0	218	2.5%
0.0375	36	0.4%
0.041667	36	0.4%
0.042857	10	0.1%
0.043478	4	< 0.1%
0.045455	4	< 0.1%
0.047619	2	< 0.1%
0.06	2	< 0.1%
0.066667	2	< 0.1%
0.071429	2	< 0.1%

Value	Count	Frequency (%)
19.375	2	< 0.1%
18.95	2	< 0.1%
17.041667	2	< 0.1%
17.025	2	< 0.1%
16.291667	2	< 0.1%
16.2625	2	< 0.1%
15.708333	2	< 0.1%
15.675	2	< 0.1%
13.333333	2	< 0.1%
13.3125	2	< 0.1%

ACF and PACF

SO2 1st Max Value
Numeric time series

High correlation Non stationary Seasonal Zeros

Distinct	47
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.9076551
Minimum	0
Maximum	30
Zeros	218
Zeros (%)	2.5%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1.3
median	2.3
Q3	4
95-th percentile	7
Maximum	30
Range	30
Interquartile range (IQR)	2.7

Descriptive statistics

Standard deviation	2.1751437
Coefficient of variation (CV)	0.74807487
Kurtosis	16.137147
Mean	2.9076551
Median Absolute Deviation (MAD)	1
Skewness	2.6785043
Sum	25221
Variance	4.7312501
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	1.216947079 × 10^-11

Histogram with fixed size bins (bins=47)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
2	1680	19.4%
1	1399	16.1%
3	1174	13.5%
4	724	8.3%
5	462	5.3%
1.3	373	4.3%
1.6	351	4.0%
2.3	304	3.5%
2.6	258	3.0%
6	238	2.7%
Other values (37)	1711	19.7%

Value	Count	Frequency (%)
0	218	2.5%
0.3	78	0.9%
0.6	117	1.3%
1	1399	16.1%
1.3	373	4.3%
1.6	351	4.0%
2	1680	19.4%
2.3	304	3.5%
2.6	258	3.0%
3	1174	13.5%

Value	Count	Frequency (%)
30	2	< 0.1%
22	4	< 0.1%
21	2	< 0.1%
20.3	4	< 0.1%
20	2	< 0.1%
19.6	4	< 0.1%
18	2	< 0.1%
17	2	< 0.1%
16	4	< 0.1%
15	2	< 0.1%

ACF and PACF

SO2 1st Max Hour
Numeric time series

Non stationary Seasonal Zeros

Distinct	24
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	11.523173
Minimum	0
Maximum	23
Zeros	941
Zeros (%)	10.8%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	6
median	11
Q3	20
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	7.7159733
Coefficient of variation (CV)	0.66960493
Kurtosis	-1.4092798
Mean	11.523173
Median Absolute Deviation (MAD)	8
Skewness	-0.015391085
Sum	99952
Variance	59.536244
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	1.352598167 × 10^-21

Histogram with fixed size bins (bins=24)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
20	1457	16.8%
8	1143	13.2%
0	941	10.8%
2	885	10.2%
23	635	7.3%
7	610	7.0%
11	512	5.9%
19	434	5.0%
14	305	3.5%
18	276	3.2%
Other values (14)	1476	17.0%

Value	Count	Frequency (%)
0	941	10.8%
1	58	0.7%
2	885	10.2%
3	28	0.3%
4	34	0.4%
5	102	1.2%
6	222	2.6%
7	610	7.0%
8	1143	13.2%
9	150	1.7%

Value	Count	Frequency (%)
23	635	7.3%
22	91	1.0%
21	185	2.1%
20	1457	16.8%
19	434	5.0%
18	276	3.2%
17	258	3.0%
16	33	0.4%
15	32	0.4%
14	305	3.5%

ACF and PACF

SO2 AQI
Numeric time series

High correlation Missing Non stationary Seasonal Zeros

Distinct	23
Distinct (%)	0.5%
Missing	4336
Missing (%)	50.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.5382665
Minimum	0
Maximum	43
Zeros	108
Zeros (%)	1.2%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	6
95-th percentile	10
Maximum	43
Range	43
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.4451514
Coefficient of variation (CV)	0.75913378
Kurtosis	14.764287
Mean	4.5382665
Median Absolute Deviation (MAD)	2
Skewness	2.5110877
Sum	19687
Variance	11.869068
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	2.745867097 × 10^-8

Histogram with fixed size bins (bins=23)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
3	1133	13.1%
4	859	9.9%
1	756	8.7%
6	576	6.6%
7	376	4.3%
9	198	2.3%
10	124	1.4%
0	108	1.2%
11	80	0.9%
13	52	0.6%
Other values (13)	76	0.9%
(Missing)	4336	50.0%

Value	Count	Frequency (%)
0	108	1.2%
1	756	8.7%
3	1133	13.1%
4	859	9.9%
6	576	6.6%
7	376	4.3%
9	198	2.3%
10	124	1.4%
11	80	0.9%
13	52	0.6%

Value	Count	Frequency (%)
43	2	< 0.1%
31	4	< 0.1%
30	2	< 0.1%
29	2	< 0.1%
26	2	< 0.1%
24	2	< 0.1%
23	2	< 0.1%
21	2	< 0.1%
20	2	< 0.1%
19	6	0.1%

ACF and PACF

CO Units
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Parts per million	8674

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	147458
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Parts per million
2nd row	Parts per million
3rd row	Parts per million
4th row	Parts per million
5th row	Parts per million

Common Values

Value	Count	Frequency (%)
Parts per million	8674	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
parts	8674	33.3%
per	8674	33.3%
million	8674	33.3%

Most occurring characters

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
m	8674	5.9%
Other values (3)	26022	17.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
m	8674	5.9%
Other values (3)	26022	17.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
m	8674	5.9%
Other values (3)	26022	17.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	147458	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	17348	11.8%
i	17348	11.8%
l	17348	11.8%
	17348	11.8%
P	8674	5.9%
s	8674	5.9%
t	8674	5.9%
a	8674	5.9%
p	8674	5.9%
m	8674	5.9%
Other values (3)	26022	17.6%

CO Mean
Numeric time series

High correlation Non stationary Seasonal

Distinct	815
Distinct (%)	9.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.58174737
Minimum	0
Maximum	2.15
Zeros	20
Zeros (%)	0.2%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.145833
Q1	0.325
median	0.504167
Q3	0.775
95-th percentile	1.266667
Maximum	2.15
Range	2.15
Interquartile range (IQR)	0.45

Descriptive statistics

Standard deviation	0.34799088
Coefficient of variation (CV)	0.59818212
Kurtosis	0.97368299
Mean	0.58174737
Median Absolute Deviation (MAD)	0.2125
Skewness	1.007607
Sum	5046.0767
Variance	0.12109765
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	3.940737445 × 10^-7

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
0.433333	66	0.8%
0.3	66	0.8%
0.333333	62	0.7%
0.491667	60	0.7%
0.475	58	0.7%
0.6	54	0.6%
0.354167	54	0.6%
0.304167	54	0.6%
0.341667	54	0.6%
0.4625	52	0.6%
Other values (805)	8094	93.3%

Value	Count	Frequency (%)
0	20	0.2%
0.004167	4	< 0.1%
0.00625	2	< 0.1%
0.008333	4	< 0.1%
0.008696	2	< 0.1%
0.009091	2	< 0.1%
0.009524	2	< 0.1%
0.01	2	< 0.1%
0.0125	4	< 0.1%
0.016667	6	0.1%

Value	Count	Frequency (%)
2.15	2	< 0.1%
2.120833	2	< 0.1%
2.079167	2	< 0.1%
2.033333	2	< 0.1%
2.008696	2	< 0.1%
1.970833	2	< 0.1%
1.933333	2	< 0.1%
1.908333	2	< 0.1%
1.904167	2	< 0.1%
1.895833	2	< 0.1%

ACF and PACF

CO 1st Max Value
Real number (ℝ)

High correlation

Distinct	50
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1952963

Minimum	0
Maximum	5.5
Zeros	20
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	0.7
median	1
Q3	1.6
95-th percentile	2.6
Maximum	5.5
Range	5.5
Interquartile range (IQR)	0.9

Descriptive statistics

Standard deviation	0.72379849
Coefficient of variation (CV)	0.60553897
Kurtosis	2.0691479
Mean	1.1952963
Median Absolute Deviation (MAD)	0.4
Skewness	1.2056109
Sum	10368
Variance	0.52388425
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.8	626	7.2%
0.7	594	6.8%
0.9	592	6.8%
0.6	582	6.7%
1	534	6.2%
0.5	516	5.9%
1.1	448	5.2%
0.4	438	5.0%
1.2	436	5.0%
1.3	434	5.0%
Other values (40)	3474	40.1%

Value	Count	Frequency (%)
0	20	0.2%
0.1	68	0.8%
0.2	168	1.9%
0.3	288	3.3%
0.4	438	5.0%
0.5	516	5.9%
0.6	582	6.7%
0.7	594	6.8%
0.8	626	7.2%
0.9	592	6.8%

Value	Count	Frequency (%)
5.5	4	< 0.1%
5	2	< 0.1%
4.9	4	< 0.1%
4.7	2	< 0.1%
4.6	2	< 0.1%
4.5	2	< 0.1%
4.4	2	< 0.1%
4.3	6	0.1%
4.2	2	< 0.1%
4.1	2	< 0.1%

CO 1st Max Hour
Real number (ℝ)

Zeros

Distinct	24
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.356352

Minimum	0
Maximum	23
Zeros	2160
Zeros (%)	24.9%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	8
Q3	21
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	9.5473449
Coefficient of variation (CV)	0.84070524
Kurtosis	-1.7788509
Mean	11.356352
Median Absolute Deviation (MAD)	8
Skewness	-0.022125175
Sum	98505
Variance	91.151795
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	2160	24.9%
23	1236	14.2%
7	734	8.5%
20	684	7.9%
21	680	7.8%
19	654	7.5%
1	631	7.3%
22	554	6.4%
8	355	4.1%
2	216	2.5%
Other values (14)	770	8.9%

Value	Count	Frequency (%)
0	2160	24.9%
1	631	7.3%
2	216	2.5%
3	74	0.9%
4	24	0.3%
5	34	0.4%
6	166	1.9%
7	734	8.5%
8	355	4.1%
9	72	0.8%

Value	Count	Frequency (%)
23	1236	14.2%
22	554	6.4%
21	680	7.8%
20	684	7.9%
19	654	7.5%
18	212	2.4%
17	56	0.6%
16	10	0.1%
15	6	0.1%
14	6	0.1%

CO AQI
Numeric time series

High correlation Missing Non stationary Seasonal

Distinct	34
Distinct (%)	0.8%
Missing	4323
Missing (%)	49.8%
Infinite	0
Infinite (%)	0.0%

Mean	11.449552
Minimum	0
Maximum	38
Zeros	14
Zeros (%)	0.2%
Memory size	135.5 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	7
median	10
Q3	15
95-th percentile	24
Maximum	38
Range	38
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.5240964
Coefficient of variation (CV)	0.56981238
Kurtosis	0.87074124
Mean	11.449552
Median Absolute Deviation (MAD)	4
Skewness	0.95917742
Sum	49817
Variance	42.563834
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	5.760995906 × 10^-5

Histogram with fixed size bins (bins=34)

Gap statistics

number of gaps	25
min	4 days
max	32 weeks and 2 days
mean	10 weeks, 3 days and 20 hours
std	11 weeks, 2 days and 2 hours

Value	Count	Frequency (%)
7	386	4.5%
8	344	4.0%
9	342	3.9%
10	334	3.9%
6	328	3.8%
5	296	3.4%
11	292	3.4%
15	212	2.4%
13	210	2.4%
14	188	2.2%
Other values (24)	1419	16.4%
(Missing)	4323	49.8%

Value	Count	Frequency (%)
0	14	0.2%
1	44	0.5%
2	118	1.4%
3	186	2.1%
5	296	3.4%
6	328	3.8%
7	386	4.5%
8	344	4.0%
9	342	3.9%
10	334	3.9%

Value	Count	Frequency (%)
38	2	< 0.1%
36	2	< 0.1%
35	10	0.1%
34	10	0.1%
33	24	0.3%
32	8	0.1%
31	4	< 0.1%
30	16	0.2%
28	10	0.1%
27	28	0.3%

ACF and PACF

Interactions

Correlations

	CO 1st Max Hour	CO 1st Max Value	CO AQI	CO Mean	NO2 1st Max Hour	NO2 1st Max Value	NO2 AQI	NO2 Mean	O3 1st Max Hour	O3 1st Max Value	O3 AQI	O3 Mean	SO2 1st Max Hour	SO2 1st Max Value	SO2 AQI	SO2 Mean
CO 1st Max Hour	1.000	0.136	0.095	0.036	0.269	0.249	0.250	0.146	-0.116	0.003	0.003	-0.109	0.315	0.088	0.085	0.044
CO 1st Max Value	0.136	1.000	1.000	0.881	-0.074	0.619	0.619	0.733	-0.217	-0.368	-0.367	-0.543	0.291	0.533	0.542	0.399
CO AQI	0.095	1.000	1.000	0.930	-0.130	0.594	0.594	0.746	-0.231	-0.403	-0.402	-0.561	0.245	0.540	0.546	0.415
CO Mean	0.036	0.881	0.930	1.000	-0.057	0.579	0.579	0.770	-0.174	-0.420	-0.420	-0.590	0.235	0.514	0.521	0.413
NO2 1st Max Hour	0.269	-0.074	-0.130	-0.057	1.000	0.169	0.170	0.030	0.130	0.232	0.233	0.087	0.122	-0.038	-0.040	0.002
NO2 1st Max Value	0.249	0.619	0.594	0.579	0.169	1.000	1.000	0.809	-0.164	0.043	0.043	-0.268	0.376	0.484	0.491	0.401
NO2 AQI	0.250	0.619	0.594	0.579	0.170	1.000	1.000	0.809	-0.164	0.043	0.043	-0.269	0.377	0.485	0.492	0.401
NO2 Mean	0.146	0.733	0.746	0.770	0.030	0.809	0.809	1.000	-0.197	-0.303	-0.303	-0.592	0.310	0.543	0.549	0.468
O3 1st Max Hour	-0.116	-0.217	-0.231	-0.174	0.130	-0.164	-0.164	-0.197	1.000	0.277	0.276	0.277	-0.158	-0.103	-0.102	-0.056
O3 1st Max Value	0.003	-0.368	-0.403	-0.420	0.232	0.043	0.043	-0.303	0.277	1.000	1.000	0.864	-0.091	-0.175	-0.177	-0.102
O3 AQI	0.003	-0.367	-0.402	-0.420	0.233	0.043	0.043	-0.303	0.276	1.000	1.000	0.863	-0.091	-0.174	-0.177	-0.102
O3 Mean	-0.109	-0.543	-0.561	-0.590	0.087	-0.268	-0.269	-0.592	0.277	0.864	0.863	1.000	-0.245	-0.329	-0.331	-0.245
SO2 1st Max Hour	0.315	0.291	0.245	0.235	0.122	0.376	0.377	0.310	-0.158	-0.091	-0.091	-0.245	1.000	0.325	0.431	0.169
SO2 1st Max Value	0.088	0.533	0.540	0.514	-0.038	0.484	0.485	0.543	-0.103	-0.175	-0.174	-0.329	0.325	1.000	1.000	0.863
SO2 AQI	0.085	0.542	0.546	0.521	-0.040	0.491	0.492	0.549	-0.102	-0.177	-0.177	-0.331	0.431	1.000	1.000	0.843
SO2 Mean	0.044	0.399	0.415	0.413	0.002	0.401	0.401	0.468	-0.056	-0.102	-0.102	-0.245	0.169	0.863	0.843	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	State Code	County Code	Site Num	Address	State	County	City	Date Local	NO2 Units	NO2 Mean	NO2 1st Max Value	NO2 1st Max Hour	NO2 AQI	O3 Units	O3 Mean	O3 1st Max Value	O3 1st Max Hour	O3 AQI	SO2 Units	SO2 Mean	SO2 1st Max Value	SO2 1st Max Hour	SO2 AQI	CO Units	CO Mean	CO 1st Max Value	CO 1st Max Hour	CO AQI
2000-01-01	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2000-01-01	Parts per billion	47.208333	102.0	21	101	Parts per million	0.019750	0.039	9	33	Parts per billion	1.750000	2.0	0	3.0	Parts per million	0.787500	1.9	22	NaN
2000-01-01	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2000-01-01	Parts per billion	47.208333	102.0	21	101	Parts per million	0.019750	0.039	9	33	Parts per billion	1.750000	2.0	0	3.0	Parts per million	0.621053	1.3	23	15.0
2000-01-01	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2000-01-01	Parts per billion	47.208333	102.0	21	101	Parts per million	0.019750	0.039	9	33	Parts per billion	1.737500	2.0	2	NaN	Parts per million	0.787500	1.9	22	NaN
2000-01-01	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2000-01-01	Parts per billion	47.208333	102.0	21	101	Parts per million	0.019750	0.039	9	33	Parts per billion	1.737500	2.0	2	NaN	Parts per million	0.621053	1.3	23	15.0
2000-01-02	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2000-01-02	Parts per billion	28.083333	79.0	23	78	Parts per million	0.014250	0.027	10	23	Parts per billion	1.375000	2.0	0	3.0	Parts per million	0.475000	1.5	22	NaN
2000-01-02	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2000-01-02	Parts per billion	28.083333	79.0	23	78	Parts per million	0.014250	0.027	10	23	Parts per billion	1.375000	2.0	0	3.0	Parts per million	0.554167	1.3	0	15.0
2000-01-02	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2000-01-02	Parts per billion	28.083333	79.0	23	78	Parts per million	0.014250	0.027	10	23	Parts per billion	1.362500	2.0	2	NaN	Parts per million	0.475000	1.5	22	NaN
2000-01-02	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2000-01-02	Parts per billion	28.083333	79.0	23	78	Parts per million	0.014250	0.027	10	23	Parts per billion	1.362500	2.0	2	NaN	Parts per million	0.554167	1.3	0	15.0
2000-01-03	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2000-01-03	Parts per billion	62.714286	170.0	19	114	Parts per million	0.016292	0.032	22	27	Parts per billion	1.033333	3.3	20	NaN	Parts per million	1.179167	1.7	11	19.0
2000-01-03	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2000-01-03	Parts per billion	62.714286	170.0	19	114	Parts per million	0.016292	0.032	22	27	Parts per billion	1.033333	3.3	20	NaN	Parts per million	1.222727	3.6	7	NaN

	State Code	County Code	Site Num	Address	State	County	City	Date Local	NO2 Units	NO2 Mean	NO2 1st Max Value	NO2 1st Max Hour	NO2 AQI	O3 Units	O3 Mean	O3 1st Max Value	O3 1st Max Hour	O3 AQI	SO2 Units	SO2 Mean	SO2 1st Max Value	SO2 1st Max Hour	SO2 AQI	CO Units	CO Mean	CO 1st Max Value	CO 1st Max Hour	CO AQI
2010-12-29	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2010-12-29	Parts per billion	16.045455	28.0	13	26	Parts per million	0.017917	0.035	22	30	Parts per billion	1.347826	3.0	9	4.0	Parts per million	0.247826	0.4	0	NaN
2010-12-29	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2010-12-29	Parts per billion	16.045455	28.0	13	26	Parts per million	0.017917	0.035	22	30	Parts per billion	1.347826	3.0	9	4.0	Parts per million	0.354167	0.8	0	9.0
2010-12-30	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2010-12-30	Parts per billion	11.291667	35.0	22	33	Parts per million	0.024583	0.037	8	31	Parts per billion	1.075000	1.6	23	NaN	Parts per million	0.241667	0.8	22	NaN
2010-12-30	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2010-12-30	Parts per billion	11.291667	35.0	22	33	Parts per million	0.024583	0.037	8	31	Parts per billion	1.075000	1.6	23	NaN	Parts per million	0.175000	0.5	23	6.0
2010-12-30	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2010-12-30	Parts per billion	11.291667	35.0	22	33	Parts per million	0.024583	0.037	8	31	Parts per billion	1.083333	2.0	22	3.0	Parts per million	0.241667	0.8	22	NaN
2010-12-30	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2010-12-30	Parts per billion	11.291667	35.0	22	33	Parts per million	0.024583	0.037	8	31	Parts per billion	1.083333	2.0	22	3.0	Parts per million	0.175000	0.5	23	6.0
2010-12-31	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2010-12-31	Parts per billion	18.458333	26.0	0	25	Parts per million	0.018053	0.031	14	26	Parts per billion	1.083333	2.0	7	3.0	Parts per million	0.466667	0.7	2	8.0
2010-12-31	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2010-12-31	Parts per billion	18.458333	26.0	0	25	Parts per million	0.018053	0.031	14	26	Parts per billion	1.075000	1.3	8	NaN	Parts per million	0.404167	0.8	7	NaN
2010-12-31	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2010-12-31	Parts per billion	18.458333	26.0	0	25	Parts per million	0.018053	0.031	14	26	Parts per billion	1.083333	2.0	7	3.0	Parts per million	0.404167	0.8	7	NaN
2010-12-31	4	13	3003	2857 N MILLER RD-S SCOTTSDALE STN	Arizona	Maricopa	Scottsdale	2010-12-31	Parts per billion	18.458333	26.0	0	25	Parts per million	0.018053	0.031	14	26	Parts per billion	1.075000	1.3	8	NaN	Parts per million	0.466667	0.7	2	8.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)